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7 days ago
Job Title: Senior Data Engineer
Location: Pan India
Experience: 7+ Years
Joining: Immediate/Short Notice Preferred
Job Summary:
We are looking for an experienced Senior Data Engineer to design, develop, and optimize scalable data solutions across Enterprise Data Lake (EDL) and hybrid cloud platforms. The role involves data architecture, pipeline orchestration, metadata governance, and building reusable data products aligned with business goals.
Key Responsibilities:
- Design & implement scalable data pipelines (Spark, Hive, Kafka, Bronze-Silver-Gold architecture).
- Work on data architecture, modelling, and orchestration for large-scale systems.
- Implement metadata governance, lineage, and business glossary using Apache Atlas.
- Support DataOps/MLOps best practices and mentor teams.
- Integrate data across structured & unstructured sources (ODS, CRM, NoSQL).
Required Skills:
- Strong hands-on experience with Apache Hive, HBase, Kafka, Spark, Elasticsearch.
- Expertise in data architecture, modelling, orchestration, and DataOps.
- Familiarity with Data Mesh, Data Product development, and hybrid cloud (AWS/Azure/GCP).
- Knowledge of metadata governance, ETL/ELT, NoSQL data models.
- Strong problem-solving and communication skills.
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